=====Aliasing=====



%%(matlab;;aliasFreq.m)
function [ f_alias ] = aliasFreq( f_sampling, f_noise)
%aliasFreq calculates the aliasing frequency f_alias for
%  a real noise frequency f_noise.
% http://tnotes.de/Aliasing

	f_max = f_sampling / 2;

	f_alias = mod(f_noise,f_sampling);

	if (f_alias>f_max)
		f_alias = f_sampling - f_alias;
	end

end

%%


%%(matlab;;aliasFreqCan.m)
function [ f_cadi_arr ] = aliasFreqCan( f_sampling, f_noise, N)
%aliasFreqCan calculates aliasing frequency candidates for
%  a observed noise frequency f_noise in a estimated spectrum.
%  The candidates are the frequencies of possible noise sources.
% http://tnotes.de/Aliasing

	f_max = f_sampling / 2;

	f_cadi_arr = [];

	f_d = f_max - f_noise;


	for k=1:2:N
		f_r = f_max * k;
		f_cani = f_r - f_d;
		f_cadi_arr = [f_cadi_arr; f_cani];
		f_cani = f_r + f_d;
		f_cadi_arr = [f_cadi_arr; f_cani];

	end

end

%%


Examples
%%
>> aliasFreq(200, 2134)
ans =  66
>> aliasFreq(200, 220)
ans =  20
>> aliasFreq(200, 320)
ans =  80

>> aliasFreqCan(40,10,10)
ans =

	10
	30
	50
	70
	90
   110
   130
   150
   170
   190

>>
%%


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Siehe auch {{backlinks}}